Bossard’s AI strategy for proven productivity (Cartoon case)
Bossard, a Swiss company founded in 1731, has successfully transitioned from a product-centric approach to one that offers services and solutions. It has achieved significant revenue growth despite economic challenges. Its brand promise, “proven productivity,” guides its actions, including its early adoption of AI. From 2010 to 2022, the firm’s net revenue grew from CHF 475 million to CHF 1.154 billion (7.7% CAGR), despite a massive currency appreciation, a global pandemic and a supply chain crisis. “Proven productivity” permeates all levels and activities of the company and serves as a guiding principle in everyday decisions: How do you increase the productivity of customers? According to public records, Bossard’s customers were original equipment manufacturers (OEMs), such as Tesla, John Deere and Thermoplan. Bossard did not serve the maintenance, repair and overhaul (MRO) market, nor did it sell through do-it-yourself (DIY) chains like Home Depot, Lowe’s, Adeo, Kingfisher, Bunnings, OBI and Bauhaus. Bossard already employs machine learning to anticipate demand trends across various products. The company’s leadership is optimistic about leveraging generative AI for customer interactions. This could include an AI chatbot drawing on Bossard’s extensive knowledge base to provide technical advice to customers, or AI-assisted tools to support Bossard’s own specialists in responding to enquiries. With a governance structure that promotes collaboration between the executive and non-executive boards, including AI expert Petra Ehmann, Bossard aims to democratize AI knowledge across the organization. It is also leveraging AI tools like Microsoft Copilot during its enterprise resource planning (ERP) system rollout. This strategic focus on AI aligns with Bossard’s dedication to enhancing customer productivity while embracing technological advancements to evolve its business. Balancing ongoing operations with strategic AI integration is a key challenge, but Bossard is confident in its ability to leverage AI to strengthen its brand and maintain its growth trajectory.
· Identify the relevant value constellations for Bossard’s wholesale and engineering businesses
· Analyze and interpret the unsuccessful attempts to use generative AI to answer technical questions
· Connect the aspiration of “running a business while changing a business” with the challenges and opportunities AI provides
· Evaluate how different AI-focused scenarios may impact Bossard’s strategy
Bossard Holding, Manufacturing, Fasteners
2023-2024
Cranfield University
Wharley End Beds MK43 0JR, UK
Tel +44 (0)1234 750903
Email [email protected]
Harvard Business School Publishing
60 Harvard Way, Boston MA 02163, USA
Tel (800) 545-7685 Tel (617)-783-7600
Fax (617) 783-7666
Email [email protected]
NUCB Business School
1-3-1 Nishiki Naka
Nagoya Aichi, Japan 460-0003
Tel +81 52 20 38 111
Email [email protected]
IMD retains all proprietary interests in its case studies and notes. Without prior written permission, IMD cases and notes may not be reproduced, used, translated, included in books or other publications, distributed in any form or by any means, stored in a database or in other retrieval systems. For additional copyright information related to case studies, please contact Case Services.
Research Information & Knowledge Hub for additional information on IMD publications
AI data centers are consuming unprecedented amounts of power. Here’s why Big Tech is turning to nuclear energy—and what it means for America’s future. The room is always cold. That’s what you notice before you notice the servers. The white floor. ...
A year ago, Intel was widely viewed as on its way to becoming a Silicon Valley relic: bleeding cash, shedding jobs and struggling to keep pace with the AI revolution upending the semiconductor industry. Today, the mood could hardly be more differe...
in I by IMD
Research Information & Knowledge Hub for additional information on IMD publications
Research Information & Knowledge Hub for additional information on IMD publications
in I by IMD
Research Information & Knowledge Hub for additional information on IMD publications
Research Information & Knowledge Hub for additional information on IMD publications
Research Information & Knowledge Hub for additional information on IMD publications
Research Information & Knowledge Hub for additional information on IMD publications
in I by IMD
Research Information & Knowledge Hub for additional information on IMD publications
in I by IMD Brain Circuits 13 May 2026
Research Information & Knowledge Hub for additional information on IMD publications
Research Information & Knowledge Hub for additional information on IMD publications
Research Information & Knowledge Hub for additional information on IMD publications